Raf Van de Plas
- Molecular Biology top 10%
- Spectroscopy top 0.5%
- Computational Mechanics top 5%
- Biophysics top 1%
- Biomedical Engineering
- Co-authors
- Richard M. CaprioliJeffrey M. SpragginsNico VerbeeckBart De MoorEtienne WaelkensJohan A. K. SuykensJunhai YangLukasz G. Migas
- Topics
- Mass Spectrometry Techniques and Applications (31 papers)Metabolomics and Mass Spectrometry Studies (25 papers)Advanced Proteomics Techniques and Applications (9 papers)
- Journals
- Proceedings of the National Academy of SciencesSHILAP Revista de lepidopterologíaBioinformatics
- Partner nations
- United StatesNetherlandsBelgium
In The Last Decade
Raf Van de Plas
45 papers receiving 2.2k citations
Peers
Comparison fields: 5 of 158
- Molecular Biology 1.2k
- Spectroscopy 980
- Computational Mechanics 233
- Biophysics 218
- Biomedical Engineering 178
Countries citing papers authored by Raf Van de Plas
This map shows the geographic impact of Raf Van de Plas's research. It shows the number of citations coming from papers published by authors working in each country. You can also color the map by specialization and compare the number of citations received by Raf Van de Plas with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Raf Van de Plas more than expected).
Fields of papers citing papers by Raf Van de Plas
This network shows the impact of papers produced by Raf Van de Plas. Nodes represent research fields, and links connect fields that are likely to share authors. Colored nodes show fields that tend to cite the papers produced by Raf Van de Plas. The network helps show where Raf Van de Plas may publish in the future.
Co-authorship network of co-authors of Raf Van de Plas
This figure shows the co-authorship network connecting the top 25 collaborators of Raf Van de Plas. A scholar is included among the top collaborators of Raf Van de Plas based on the total number of citations received by their joint publications. Widths of edges represent the number of papers authors have co-authored together. Node borders signify the number of papers an author published with Raf Van de Plas. Raf Van de Plas is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | 0 | |
| 2 | 0 | |
| 3 | 3 | |
| 4 | 5 | |
| 5 | 21 | |
| 6 | 11 | |
| 7 | 18 | |
| 8 | 27 | |
| 9 | 18 | |
| 10 | 57 | |
| 11 | 49 | |
| 12 | 43 | |
| 13 | 18 | |
| 14 | 220 | |
| 15 | 32 | |
| 16 | 54 | |
| 17 | 242 | |
| 18 | 30 | |
| 19 | 15 | |
| 20 | Spatial Querying of Imaging Mass Spectrometry Data: A Nonnegative Least Squares Approach | 9 |
About Raf Van de Plas
Raf Van de Plas is a scholar working on Spectroscopy, Computational Mathematics and Biophysics, having authored 48 papers that have together received 2.3k indexed citations. Recurring topics across this work include Mass Spectrometry Techniques and Applications (31 papers), Metabolomics and Mass Spectrometry Studies (25 papers) and Advanced Proteomics Techniques and Applications (9 papers). The work is most often cited by research in Computational Mathematics (60 citations), Spectroscopy (980 citations) and Biophysics (218 citations). Raf Van de Plas has collaborated with scholars based in United States, Netherlands and Belgium. Frequent co-authors include Richard M. Caprioli, Jeffrey M. Spraggins, Nico Verbeeck, Bart De Moor, Etienne Waelkens, Johan A. K. Suykens, Junhai Yang, Lukasz G. Migas, Fabian Ojeda and Elizabeth K. Neumann. Their work appears in journals such as Proceedings of the National Academy of Sciences, SHILAP Revista de lepidopterología and Bioinformatics.
Rankless uses publication and citation data sourced from OpenAlex, an open and comprehensive bibliographic database. While OpenAlex provides broad and valuable coverage of the global research landscape, it—like all bibliographic datasets—has inherent limitations. These include incomplete records, variations in author disambiguation, differences in journal indexing, and delays in data updates. As a result, some metrics and network relationships displayed in Rankless may not fully capture the entirety of a scholar's output or impact.